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dc.contributor.author박춘길-
dc.date.accessioned2022-03-22T07:14:16Z-
dc.date.available2022-03-22T07:14:16Z-
dc.date.issued2020-07-
dc.identifier.citationJOURNAL OF INTELLIGENT & FUZZY SYSTEMS, v. 39, no. 1, page. 43-52en_US
dc.identifier.issn1064-1246-
dc.identifier.issn1875-8967-
dc.identifier.urihttps://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs190425-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/169314-
dc.description.abstractConflict analysis plays a prominent role in negotiation during contract-management process in government and industry. The main problem to be solved is how to model conflict situation when there is uncertainty about agreement, disagreement and neutrality among agents in a conflict situation. This paper aims to introduce the novel concepts of the hybridized structures called soft preference relation and soft dominance relation. Further we initiate the approach to handle the labor-management negotiation conflict situation using soft preference and soft dominance relations. Another novelty of the proposed techniques is to classify exactly the agreement, disagreement and neutrality among all the agents in a conflict situation. In addition the proposed techniques can be applied to find the character of all the agents in the conflict situation when compared with other existing techniques.en_US
dc.description.sponsorshipC. Park was supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (NRF2017R1D1A1B04032937).en_US
dc.language.isoenen_US
dc.publisherIOS PRESSen_US
dc.subjectConflict analysisen_US
dc.subjectsoft seten_US
dc.subjectpreference relationen_US
dc.subjectsoft preference relationen_US
dc.subjectsoft dominance relationen_US
dc.titleLabor-management negotiation conflict analysis based on soft preference relationen_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume39-
dc.identifier.doi10.3233/JIFS-190425-
dc.relation.page43-52-
dc.relation.journalJOURNAL OF INTELLIGENT & FUZZY SYSTEMS-
dc.contributor.googleauthorKhan, Muhammad Uzair-
dc.contributor.googleauthorAli, Abbas-
dc.contributor.googleauthorRehman, Noor-
dc.contributor.googleauthorAbdullah, Saleem-
dc.contributor.googleauthorCagman, Naim-
dc.contributor.googleauthorShin, Yun-
dc.contributor.googleauthorPark, Choonkil-
dc.relation.code2020049355-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF NATURAL SCIENCES[S]-
dc.sector.departmentDEPARTMENT OF MATHEMATICS-
dc.identifier.pidbaak-
Appears in Collections:
COLLEGE OF NATURAL SCIENCES[S](자연과학대학) > MATHEMATICS(수학과) > Articles
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